Events

Résumé: Pésentation de Mathias Pont dans le domaine de la photonique quantique. Il va présenter son parcours académique et professionnel, ainsi que ses récents travaux en R&D dans les matériaux et photonique intégrée pour le quantique. [] Mathias Pont (PhD, Quandela SAS) Co-sponsored by: ETS Optica Student Chapter. Speaker(s): Mathias Pont, PhD Agenda: 8h40 - 10h00 : technical presentation Virtual: https://events.vtools.ieee.org/m/445428

It's an IEEE Election Kick-off Event to fill officers' positions. Room: K229-B, Bldg: K, K229 B, Barrie, Ontario, Canada

Detection of zeptojoule terahertz pulses for 6G technologies. Abstract: We review efforts made at the Ultrafast Terahertz Lab at the University of Ottawa under the supervision of Prof. Jean-Michel Ménard and Dr. Angela Gamouras (NRC) towards demonstrating a high-sensitivity room-temperature detection scheme for terahertz (THz) radiation. This approach is based on nonlinear optical frequency conversion of THz to near-infrared (NIR) frequency. The upconverted NIR photons are spectrally resolved using a monochromator and detected using a commercial single-photon detector sensitive in the NIR. We detect THz pulses with energies as low as 1.4 zJ (10-21 J) which corresponds to 1.5 photons per pulse at a frequency of 2 THz when averaged over only 50,000 pulses. The development of such high-sensitivity detection schemes will pave the way towards room-temperature THz single-photon detection, THz quantum technologies and wireless communications. We explore the THz band as a possible solution to meet the ever-growing demand of high data transfer rates for sixth and next generation (6G) wireless communications. At these frequencies, one of the disadvantages is strong absorption due to water vapour. However, we have identified seven bands with high spectral transmission between 1 THz and 3 THz under normal atmospheric conditions. We classify these bands into three categories based on the THz propagation distance for different applications: 1. Short, 2. Mid and 3. Long-range communications. ------------------------------------------------------------------------ Détection d'impulsions térahertz zeptojoules pour les technologies 6G. Résumé : Nous passons en revue les efforts déployés au laboratoire Ultrafast Terahertz de l'Université d'Ottawa sous la supervision du professeur Jean-Michel Ménard et de la Dre Angela Gamouras (CNRC) pour démontrer un système de détection à haute sensibilité à température ambiante pour le térahertz (THz). Cette approche est basée sur la conversion de fréquence optique non linéaire du THz en fréquence proche infrarouge (NIR). Les photons NIR convertis sont résolus spectralement à l'aide d'un monochromateur et détectés à l'aide d'un détecteur commercial à photon unique sensible dans le NIR. Nous détectons des impulsions THz avec des énergies aussi faibles que 1,4zJ (10-21 J), ce qui correspond à 1,5 photons par impulsion à une fréquence de 2 THz en moyenne sur seulement 50 000 impulsions. Le développement de tels systèmes de détection à haute sensibilité ouvrira la voie à la détection de photons uniques THz à température ambiante, aux technologies quantiques THz et aux communications sans fil. Nous explorons la bande THz comme solution possible pour répondre à la demande toujours croissante de débits de transfert de données élevés pour les communications sans fil de sixième et prochaine génération (6G). A ces fréquences, un des inconvénients est la forte absorption due à la vapeur d'eau. Cependant, nous avons identifié sept bandes à transmission spectrale élevée entre 1 THz et 3 THz dans des conditions atmosphériques normales. Nous classons ces bandes en trois catégories en fonction de la distance de propagation THz pour différentes applications : 1. Communications courtes, 2. Moyennes et 3. Communications longue portée. Eeswar Kumar Yalavarthi Aswin Vishnu Radhan About / A propos The High Throughput and Secure Networks (HTSN) Challenge program is hosting regular virtual seminar series to promote scientific information sharing, discussions, and interactions between researchers. https://nrc.canada.ca/en/research-development/research-collaboration/programs/high-throughput-secure-networks-challenge-program Le programme Réseaux Sécurisés à Haut Débit (RSHD) organise régulièrement des séries de séminaires virtuels pour promouvoir le partage d’informations scientifiques, les discussions et les interactions entre chercheurs. https://nrc.canada.ca/fr/recherche-developpement/recherche-collaboration/programmes/programme-defi-reseaux-securises-haut-debit Co-sponsored by: National Research Council, Canada. Optonique. Speaker(s): Eeswar Kumar Yalavarthi, Aswin Vishnu Radhan Virtual: https://events.vtools.ieee.org/m/444952

Fostering Impactful Industry Academia Collaborations: The Journey of SODA ABR Algorithm In this talk, we will present a recently published work, in collaboration with UMass Amherst and Caltech, on developing a performant Adaptive Bitrate algorithm called SODA which delivers high quality of experience while providing performance guarantees. We will also delve in to the backstory behind this collaboration and finally, touch upon how academics and students can engage with Prime Video Science through collaborations and other open opportunities. [] Co-sponsored by: IEEE Education Society Speaker(s): Dr. Zahaib Akhtar, Dr. Natalie Strobach Virtual: https://events.vtools.ieee.org/m/447345

The IEEE Magnetics Toronto Section invites you to a seminar exploring advancements in cancer treatment through the application of ultrasound-stimulated microbubbles (USMB) to enhance external beam radiotherapy. Previous studies have demonstrated that USMBs can amplify radiotherapy effects by up to 40-fold, offering significant promise for improving therapeutic outcomes. This presentation will focus on an ongoing phase I clinical trial investigating USMBs as an adjunct to fractionated radiation therapy in patients with locally advanced breast cancer and inoperable tumors near the chest wall. Central to the trial is the Symphony MRI-guided FUS system, a pioneering technology developed by Arrayus Technologies. This system integrates: - A large-aperture, densely populated phased array for fully electronic beam steering. - Advanced MRI-guided spatial targeting with finely adjustable treatment contouring. - Real-time magnetic resonance thermometry for precise monitoring and control. Speaker(s): David Alberico Room: KHS369, Bldg: Kerr Hall South, Toronto Metropolitan University, 350 Victoria Steet, Toronto, Ontario, Canada, M5B2K3

Shaping the Future: Inspiring Women to Lead in Silicon Photonics and Technology Innovation Dr. Winnie Ye, a Fellow of Optica and the Engineering Institute of Canada (EIC), is a leading expert in silicon photonics with applications in telecommunications, biophotonics, and renewable energy. As a Full Professor at Carleton University and former Canada Research Chair, Dr. Ye has earned numerous accolades, including the IEEE MGA Leadership Award and the Partners in Research National Technology Ambassador Award. In this talk, she will explore the transformative potential of silicon photonics and share insights from her journey as a researcher, educator, and advocate for women in engineering. Dr. Ye will inspire attendees to lead in technology innovation and foster diversity in STEM fields. [] Co-sponsored by: IEEE Education Society Speaker(s): Dr. Winnie Ye, Virtual: https://events.vtools.ieee.org/m/447344

From Intelligent Surfaces to Noise-Driven Communication: Innovative Technologies for 6G and Beyond Prof. Ertuğrul Başar Koç University, Turkey – ebasar@ku.edu.tr When: December 6th 2024, 11H00 AM Quebec-Canada Local Time Where: ONLINE VIA ZOOM: https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1 Meeting ID : 815 2108 4215 Password : 018477 Abstract - Our community has witnessed the rise of many exciting communication technologies in recent years. Notable examples include alternative waveforms, massive multiple-input multiple-output signaling, non-orthogonal multiple access, joint communications and sensing, AI-empowered systems, and so on. In this context, 6G wireless networks will inevitably require a rethinking of wireless communication systems and technologies, particularly at the physical layer, since the cellular industry reached another critical milestone with the development of 5G wireless networks with diverse applications. Within this perspective, first, this talk aims to shed light on the most recent developments in reconfigurable intelligent surface (RIS)-empowered communication towards 6G and beyond wireless networks by discussing promising candidates for future research and development. Specifically, we emphasize different RIS architectures and emerging RIS use cases. Second, taking RIS-based radio frequency chain-free transmitters one step further, we put forward the paradigm of noise-driven communication. We discuss the potential of noise-driven communication systems for three purposes: low/zero-signal-power transmission by indexing resistors or other noise sources according to information bits, noise-alike waveform/modulation design for improved communication efficiency, and unconditionally secure key generation using noise-based loops. Biography - [] Prof. Ertuğrul Başar received his Ph.D. degree from Istanbul Technical University in 2013. He is a Professor at the Department of Electrical and Electronics Engineering, Koç University, Istanbul, Turkey, and the director of the Communications Research and Innovation Laboratory (CoreLab). He had visiting positions at Ruhr University Bochum, Germany (2022, Mercator Fellow) and Princeton University, USA (2011-2012, Visiting Research Collaborator). His primary research interests include 6G and beyond wireless networks, communication theory and systems, reconfigurable intelligent surfaces, software-defined radio implementations, waveform design, physical layer security, and deep learning and signal processing for communications. In the past, Dr. Başar served as an Editor/Senior Editor for many journals, including IEEE Communications Letters (2016-2022), IEEE Transactions on Communications (2018-2022), Physical Communication (2017-2020), and IEEE Access (2016-2018). Currently, he is an Editor of Frontiers in Communications and Networks. He is the author/co-author of more than 170 international journal publications and 16 patents that received around 15K citations. He also supervised 5 PhD and 18 master’s students. He is an Associate Member of the Turkish Academy of Sciences (TÜBA). In recognition of his outstanding contributions to physical-layer design for next-generation wireless networks, Prof. Basar was elevated to IEEE Fellow in 2023, becoming one of the youngest IEEE Fellows of Turkey at the age of 37. He is also a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) and the Artificial Intelligence Industry Academy (AIIA). Recently, Dr. Basar has been selected as an IEEE ComSoc Distinguished Lecturer for the Class of 2024-2025. Speaker(s): Prof. Başar, Virtual: https://events.vtools.ieee.org/m/443554

The IEEE Magnetics Toronto Section invites you to a distinguished speaker seminar titled "Brain-Inspired Computing Using Magnetic Domain Wall Devices" by Dr. S. N. Piramanayagam. Neuromorphic computing or brain-inspired computing is considered as a potential solution to overcome the energy inefficiency of the von Neumann architecture for artificial intelligence applications . To realize spin-based neuromorphic computing practically, it is essential to design and fabricate electronic analogues of neurons and synapses. An electronic analogue of a synaptic device should provide multiple resistance states. A neuron device should receive multiple inputs and should provide a pulse output when the summation of the multiple inputs exceeds a threshold. Our group has been carrying out investigations on the design and development of various synaptic and neuron devices in our laboratory. Domain wall (DW) devices based on magnetic tunnel junctions (MTJs), where the DW can be moved by spin-orbit torque, are suitable candidates for the fabrication of synaptic and neuron devices . Spin-orbit torque helps in achieving DW motion at low energies whereas the use of MTJs helps in translating DW position information into resistance levels (or voltage pulses) . This talk will summarize various designs of synthetic neurons synaptic elements and materials . The first half of the talk will be at an introductory level, aimed at first-year graduate students. The second half will provide details of the latest research. K Roy, A Jaiswal and P Panda, Naure 575 607-617 (2019) WLW Mah, JP Chan, KR Ganesh, VB Naik, SN Piramanayagam, Leakage function in magnetic domain wall based artificial neuron using stray field, Appl. Phys. Lett., 123 (9) 092401 (2023). D Kumar, HJ Chung, JP Chan, TL Jin, ST Lim, SSP Parkin, R Sbiaa and SN Piramanayagam, Ultralow Energy Domain Wall Device for Spin-Based Neuromorphic Computing ACS Nano 17(7) 6261-6274 (2023) R Maddu, D Kumar, S Bhatti and S.N. Piramanayagam, Spintronic Heterostructures for Artificial Intelligence: A Materials Perspective, Phys. Stat. Sol. RRL 17(6) 2200493 (2023). Speaker(s): Prem Piramanayagam Room: ENG101, Bldg: George Vari Engineering and Computing Centre (ENG), Toronto Metropolitan University, 350 Victoria Steet, Toronto, Ontario, Canada, M5B2K3

During this webinar a brief introduction to Altair Feko user interface (CADFEKO and POSTFEKO) will be presented, followed by live demo of the Feko to show case simulation of different antennas and application of various solver technologies explained in (https://events.vtools.ieee.org/m/444953). Speaker(s): Gopinath Gampala, Dr. C.J. Reddy Virtual: https://events.vtools.ieee.org/m/445102

Speaker: Arash Behboodi, Director of Engineering at Qualcomm AI Research Date and Time: Wednesday, December 18, 2024, 10-11am Location: BA-4164 Abstract: Conformal Prediction (CP) is a distribution-free uncertainty estimation framework that constructs prediction sets guaranteed to contain the true answer with a user-specified probability. Intuitively, the size of the prediction set encodes a general notion of uncertainty, with larger sets associated with higher degrees of uncertainty. In this work, we leverage information theory to connect conformal prediction to other notions of uncertainty. More precisely, we prove three different ways to upper bound the intrinsic uncertainty, as described by the conditional entropy of the target variable given the inputs, by combining CP with information theoretical inequalities. Moreover, we demonstrate two direct and useful applications of such connection between conformal prediction and information theory: (i) more principled and effective conformal training objectives that generalize previous approaches and enable end-to-end training of machine learning models from scratch, and (ii) a natural mechanism to incorporate side information into conformal prediction. We empirically validate both applications in centralized and federated learning settings, showing our theoretical results translate to lower inefficiency (average prediction set size) for popular CP methods. Bio: Arash Behboodi is a machine learning research scientist and Director of Engineering at Qualcomm AI Research. He received the Ph.D. degree in information theory from Ecole Superieure d'Electricite (now CentraleSuplec), France, in 2012, and a master’s degree in philosophy from Pantheon-Sorbonne university, 2011. Prior to Qualcomm, Arash was a senior researcher at Institute for Theoretical Information Technology in RWTH Aachen University and TU Berlin. He has been doing research on information, machine learning and signal processing theory, and recently focusing in particular on wireless AI, inverse problems, differentiable simulations, and geometric deep learning. He has been a recipient of multiple best paper awards, and organized multiple workshops on machine learning and other related topics. Co-sponsored by: Prof. Ashish Khisti  Speaker(s): Arash Behboodi Room: BA-4164, Bldg: BA-4164, University of Toronto, Toronto, Ontario, Canada

Concrete encased electrodes for grounding electrical power systems, also called Ufer grounds, are highly effective grounding systems when installed correctly. James will explain what constitutes a Ufer ground and how one can be easily constructed in accordance with the IEEE Standard 142-2007 (the Green Book) and the National Electrical Code (NEC). He will also explain what common errors and myths surround Ufer grounds as well as an error in the IEEE Green Book, and errors in interpreting the NEC. James will also explain how Ufer grounds are essential to effective lightning protection systems. James’ background as an experienced construction electrician and a B.S. Civil Engineer makes him uniquely qualified to explain civil/structural concepts and practices, and how these are relevant to Electrical Engineers. Co-sponsored by: IEEE Hamilton PES Chapter, and other PES Chapters in R7 Speaker(s): James J. Mercier, Virtual: https://events.vtools.ieee.org/m/450987

Abstract: Louis-Rafaël will share his journey in entrepreneuship through answering questions provided by the student committee of TrUST as well as our coordinator. Co-sponsored by: NSERC Create TrUST Speaker(s): Louis-Rafaël Robichaud Agenda: 1:00 - 3:00 pm : presentation Virtual: https://events.vtools.ieee.org/m/453969